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Netezza- Platform Engineer
- Toronto, ON, Canada
Full-time
This opening has closed.
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Job details
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Archived listing. The details below describe a past opening.
Position: Netezza- Platform Engineer
Location: Toronto, ON (Onsite)
Employment Type: Full-Time
Experience Required: 10 + Years
Position Overview:
The ideal candidate will have strong expertise in designing, developing, and supporting scalable data pipelines and distributed systems, along with hands-on experience in Big Data ecosystem tools, AWS services, and real-time data processing. This role involves working on data platform modernization, cloud migrations, Data Warehousing and ETL in a fast-paced enterprise environment.
Key Responsibilities:
- Design, develop, maintain and support scalable data pipelines using Big Data and AWS technologies
- Lead and support data platform migration initiatives (On-Prem to AWS Cloud), ideally with Netezza background.
- Develop and manage ETL/ELT processes using tools like SSIS, Pentaho, or similar Implement and manage AWS services such as EMR, S3, EC2, Redshift, Glue, and Airflow Build and optimize data workflows and orchestration pipelines using Airflow Work with real-time streaming technologies such as Kafka and Spark Streaming
- Perform data ingestion, transformation, and validation from multiple data sources Optimize SQL queries for performance and scalability
- Monitor system performance, troubleshoot issues, and ensure system reliability
- Collaborate with cross-functional teams including developers, architects, and infrastructure teams
Required Skills:
- Cloud Technologies Strong experience in AWS Cloud services: EMR, EC2, S3, VPC, RDS, Redshift AWS Glue, IAM, Cloud Watch, Cloud Formation Airflow (or AWS Managed Workflows) Databases
- Experience working with Netezza is mandatory
- SQL-based systems: SQL Server and Postgres SQL Data warehouses: Teradata, Redshift, Netezza ETL Tools
- Hands-on experience with SSIS Programming & Scripting
- Strong proficiency in SQL Shell scripting
- Good to have Python Operating Systems
- Strong experience in Unix/Linux environments
More about this job
Responsibilities
Design, develop, maintain, and optimize scalable data pipelines, ETL/ELT processes, and orchestration workflows using Big Data technologies and AWS services. Support data platform migrations from on-premises environments to AWS, process batch and streaming data, optimize SQL, and ensure system reliability in collaboration with cross-functional teams.
Requirements
Requires 10+ years of experience and mandatory hands-on experience with Netezza, along with strong AWS, SQL, SSIS, and Unix/Linux expertise. Candidates should also have experience with data warehousing, Airflow, shell scripting, and cloud migration; Python is an advantage.
Skills
- Netezza
- AWS
- Data Pipelines
- ETL/ELT
- SQL
- SSIS
- Airflow
- Apache Kafka
- Spark Streaming
- Unix/Linux
- Shell Scripting
- Python
- Data Warehousing
- Cloud Migration
- Data Ingestion
- Performance Optimization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
Keywords
- Netezza
- AWS
- Amazon EMR
- Amazon EC2
- Amazon S3
- Amazon VPC
- Amazon RDS
- Amazon Redshift
- AWS Glue
- AWS IAM
- Amazon CloudWatch
- AWS CloudFormation
- Apache Airflow
- SSIS
- Pentaho
- SQL Server
- PostgreSQL
- Teradata
- SQL
- Shell Scripting
- Python
- Unix
- Linux
- Apache Kafka
- Spark Streaming
- ETL/ELT
- Data Warehousing
- Data Pipelines
- Cloud Migration
- Data Validation